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Mapping single-cell developmental potential in health and disease with interpretable deep learning

2024-03-21

Abstract excerpt

Single-cell RNA sequencing (scRNA-seq) has transformed our understanding of cell fate in developmental systems. However, identifying the molecular hallmarks of potency – the capacity of a cell to differentiate into other cell types – has remained challenging. Here, we introduce CytoTRACE 2, an interpretable deep learning framework for characterizing potency and differentiation states on an absolute scale from scRN...

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Literature Corpus work
0e219c22-59e8-5e4c-904b-490e55cd66df
DOI
10.1101/2024.03.19.585637
Open publication

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Mapping single-cell developmental potential in health and disease with interpretable deep learningDOI 10.1101/2024.03.19.585637
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